Microgrids have emerged as a promising solution for accommodating
the integration of renewable energy resources. But the
intermittency of renewable generation is posing challenges such as
voltage/frequency fluctuations, and grid stability issues in
grid-connected modes. Model predictive control (MPC) is a method
for controlling a process while satisfying a set of constraints. It
has been in use for chemical plants and in oil refineries since the
1980s, but in recent years has been deployed for power systems and
electronics as well. This concise work for researchers, engineers
and graduate students focuses on the use of MPC for distributed
renewable power generation in microgrids. Fluctuating outputs from
renewable energy sources and variable load demands are covered, as
are control design concepts. The authors provide examples and case
studies to validate the theory with both simulation and
experimental results and review the shortcomings and future
developments. Chapters treat power electronic converters and
control; modelling and hierarchical control of microgrids; use of
MPC for PV and wind power; voltage support; parallel PV-ESS
microgrids; secondary restoration capability; and tertiary power
flow optimization.
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